| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4631829 | Applied Mathematics and Computation | 2010 | 8 Pages |
Abstract
The aim of this paper is to incorporate the preconditioned gradient path in a nonmonotone stabilization algorithm for unconstrained optimization. The global convergence and locally superlinear convergence are established for this class of algorithms. Finally, we report in details the numerical results which show the effectiveness of the proposed algorithm.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Qunyan Zhou, Wenyu Sun, Liqun Qi,